Diseases in a relationship

diseases in a relationship

The Infectious Etiology of Chronic Diseases: Defining the Relationship, Enhancing the Research, and Mitigating the Effects: Workshop Summary (). We have taken a computational approach to studying disease relationships through 1) systematic identification of disease associated genes by. Diseases are developed by abnormal behavior of genes in biological events such as gene regulation, mutation, phosphorylation, and.

Disease networks. Uncovering disease-disease relationships through the incomplete interactome.

Journal of the National Cancer Institute The causal relation between human papillomavirus and cervical cancer.

Journal of Clinical Pathology The male factor in the etiology of cervical cancer among sexually monogamous women. International Journal of Cancer Parity as a risk factor for cervical cancer.

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American Journal of Epidemiology High viral load is associated with persistent HPV infection and risk of cervical dysplasia. Adenovirus E1A, simian virus 40 tumor antigen, and human Papillomavirus E7 protein share the capacity to disrupt the interaction between transcription factor E2F and the retinoblastoma gene product.

Proceedings of the National Academy of Sciences Epidemiology of cervical intraepithelial neoplasia: A systematic review of the role of human papilloma virus HPV testing within a cervical screening programme: British Journal of Cancer The human papilloma virus E7 oncoprotein is able to bind to the retinoblastoma gene product. Viral etiology of cervical cancer: Reviews of Infectious Diseases Epidemiologic evidence and human papillomavirus infection as a necessary cause of cervical cancer.

Page 27 Share Cite Suggested Citation: Epidemiology of acquisition and clearance of cervical human papillomavirus infection in women from a high-risk area for cervical cancer. The Journal of Infectious Diseases Canadian Medical Association Journal Epidemiology of cervical cancer.

diseases in a relationship

Journal of the National Cancer Institute Monographs Persistence of type-specific human papillomavirus infection among cytologically normal women. HPV 16 and cigarette smoking as risk factors for high-grade cervical intra-epithelial neoplasia. Natural history of cervicovaginal papillomavirus infection in young women.

diseases in a relationship

New England Journal of Medicine IARC Monographs on the evaluation of carcinogenic risks to humans. International Agency for Research on Cancer. A cohort study of the risk of cervical intraepithelial neoplasia grade 2 or 3 in relation to papillomavirus infection.

A controlled trial of a human papillomavirus type 16 vaccine.

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A prospective study of human papillomavirus HPV type 16 DNA detection by polymerase chain reaction and its association with acquisition and persistence of other HPV types.

Major histocompatibility complex class II polymorphisms and risk of cervical cancer and human papillomavirus infection in Brazilian women. Cancer Epidemiology, Biomarkers and Prevention 9: Effect of oral contraceptives on risk of cervical cancer in women with human papillomavirus infection: The natural history of human papillomavirus infection as measured by repeated DNA testing in adolescent and young women. The Journal of Pediatrics Risks for incident human papillomavirus infection and low-grade squamous intraepithelial lesion development in young females.

diseases in a relationship

Journal of the American Medical Association Cancer incidence in five continents, Vol. Relation of human papillomavirus status to cervical lesions and consequences for cervical-cancer screening: Page 28 Share Cite Suggested Citation: Estimates of the worldwide incidence of 25 major cancers in Estimates of the worldwide mortality from 25 cancers in Potischman N and Brinton LA.

Nutrition and cervical neoplasia. Cancer Causes and Control 7: Papillomavirus-like particle vaccines for cervical cancer. Molecular Medicine Today 5: Persistent human papillomavirus infection as a predictor of cervical intraepithelial neoplasia.

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A Pathway-Based View of Human Diseases and Disease Relationships

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. This article has been cited by other articles in PMC.

diseases in a relationship

Column 2 indicates the top MeSH disease categories which a disease belongs to. Multiple categories are separated by. Column 3 indicates the number of disease associated genes for each disease.

A Pathway-Based View of Human Diseases and Disease Relationships

Column 3 indicates the number of disease associated genes for each pathway. Within-category WD distance of disease categories in DN. Expected WD was calculated as the average WD of random disease networks.

Categories highlighted in blue are the ones whose observed WD is significantly higher than expected. Yellow color indicates the opposite. Understanding how different diseases are related to each other based on the underlying biology could provide new insights into disease etiology, classification, and shared biological mechanisms.

We have taken a computational approach to studying disease relationships through 1 systematic identification of disease associated genes by literature mining, 2 associating diseases to biological pathways where disease genes are enriched, and 3 linking diseases together based on shared pathways. We identified 4, candidate disease associated genes for diseases. We generated a disease network which consists of diseases and 6, disease relationships. We examined properties of this network and provided examples of novel disease relationships which cannot be readily captured through simple literature search or gene overlap analysis.

Our results could potentially provide insights into the design of novel, pathway-guided therapeutic interventions for diseases. Introduction The combination of genetics and molecular biology has greatly facilitated the identification of candidate genes for human diseases [1][2].